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Estimation of falling risk based on acceleration signals during initial gait

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Main Authors: Sawa, Fuke, Takuji, Suzuki, Miwako, Doi
Other Authors: sawa.fuke@toshiba.co.jp
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Subjects:
Component
Falling risk
Wearble sensor
Acceleration
Gait analysis
Initial gait
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21361
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spelling my.unimap-213612012-10-15T04:43:58Z Estimation of falling risk based on acceleration signals during initial gait Sawa, Fuke Takuji, Suzuki Miwako, Doi sawa.fuke@toshiba.co.jp takuji1.suzuki@toshiba.co.jp miwako.doi@toshiba.co.jp Component Falling risk Wearble sensor Acceleration Gait analysis Initial gait Link to publisher's homepage at http://ieeexplore.ieee.org/ In an aging society, falling risk of the elderly is one of big problems. In order to improve Quality Of Life (QOL) and curb increases in the care burden and medical costs, it is desirable to estimate and ameliorate falling risk through timely rehabilitation exercise. We propose a method of estimating the falling risk based on acceleration signals during initial gait. The risk is defined by a screening tool (Berg balance scale) utilized by physical therapists. In this method, the feature values are calculated by focusing on the variation of wave trajectory and horizontal symmetry due to unstable behavior during the initial transitional phase after starting time of the gait. Finally, in an experiment to confirm the efficacy of the proposed method, we gathered acceleration data at the waist of 17 subjects while they started walking after standing still. Then, the SVM (Support Vector Machine) classifiers to estimate the label of falling risk (3 classes: safe, caution-needed, and high-risk class) were trained and it was ascertained that F-values over 70% were achieved as the estimate accuracy. 2012-10-15T04:43:58Z 2012-10-15T04:43:58Z 2012-02-27 Working Paper p. 286-291 978-145771989-9 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179022 http://hdl.handle.net/123456789/21361 en Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Component
Falling risk
Wearble sensor
Acceleration
Gait analysis
Initial gait
spellingShingle Component
Falling risk
Wearble sensor
Acceleration
Gait analysis
Initial gait
Sawa, Fuke
Takuji, Suzuki
Miwako, Doi
Estimation of falling risk based on acceleration signals during initial gait
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 sawa.fuke@toshiba.co.jp
author_facet sawa.fuke@toshiba.co.jp
Sawa, Fuke
Takuji, Suzuki
Miwako, Doi
format Working Paper
author Sawa, Fuke
Takuji, Suzuki
Miwako, Doi
author_sort Sawa, Fuke
title Estimation of falling risk based on acceleration signals during initial gait
title_short Estimation of falling risk based on acceleration signals during initial gait
title_full Estimation of falling risk based on acceleration signals during initial gait
title_fullStr Estimation of falling risk based on acceleration signals during initial gait
title_full_unstemmed Estimation of falling risk based on acceleration signals during initial gait
title_sort estimation of falling risk based on acceleration signals during initial gait
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21361
_version_ 1643793360842915840
score 13.222552

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